Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177134BB26732B8A843DB91DEF73C2D46B2D2988DF8C74550B5C95A8D13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aM+EsZx8/G8+44DawEMDBhw1MDBKqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlAz5W:aM+EsZ/8p4DawEMDBhw1MDBrN2/y9dGV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf2f3f2fc0d0c0c0 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
7b7b153737313931 |
|
VISUAL
wHash
|
0000df8381ff9f9f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
7b7b153737313931,fffff9e9fffbffff |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 18 techniques to evade detection by security scanners and make reverse engineering more difficult.